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This November 2006 report by Airshed Planning Professionals (Pty) Ltd, commissioned by Eskom Holdings Limited, assesses the inhalation-related health risks associated with the existing Matimba Power Station and the proposed Project Alpha power station in the Lephalale area of Limpopo Province. The study focuses on particulate matter (PM10), sulphur dioxide (SO2), and nitrogen dioxide (NO2), utilizing CALPUFF dispersion modelling and 2001 census population data to estimate premature mortalities and respiratory hospital admissions.

This report details the methodology and emissions inventory used for an air pollution health risk analysis concerning the existing Matimba Power Station and the proposed Project Alpha Power Station in the Limpopo Province of South Africa. It describes the use of CALMET and CALPUFF dispersion models to simulate pollutant concentrations and the subsequent application of dose-response relationships to estimate health risks, specifically total non-accidental mortality and respiratory hospital admissions.

This report section details a health risk assessment for the area surrounding the Matimba Power Station in Limpopo Province, South Africa. It evaluates the impact of air pollutants—specifically sulphur dioxide (SO2), nitrogen dioxide (NO2), and particulate matter (PM10)—from power station emissions, household fuel burning, and brickmaking on non-accidental mortality and respiratory hospital admissions.

This report analyzes the health risks associated with air pollution from the existing Matimba Power Station and the proposed Project Alpha in Limpopo Province, South Africa. It compares scenarios with and without sulphur dioxide (SO2) controls for Project Alpha, estimating the impact on non-accidental mortality and respiratory hospital admissions (RHAs).

This report, prepared by INFOTOX (Pty) Ltd for Eskom Holdings, evaluates the confidence levels and uncertainties associated with the health risk assessment of particulate matter (PM10), nitrogen dioxide (NO2), and sulfur dioxide (SO2) emissions from Eskom operations. It concludes that risk quantifications based on mortality and particulate matter are more reliable than those based on hospitalisation and gaseous pollutants.